|Counting everyday objects in everyday scenes|
P Chattopadhyay, R Vedantam, RR Selvaraju, D Batra, D Parikh
Proceedings of the IEEE conference on computer vision and pattern …, 2017
|Learning to balance specificity and invariance for in and out of domain generalization|
P Chattopadhyay, Y Balaji, J Hoffman
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
|Do explanations make VQA models more predictable to a human?|
A Chandrasekaran, V Prabhu, D Yadav, P Chattopadhyay, D Parikh
arXiv preprint arXiv:1810.12366, 2018
|Evaluating visual conversational agents via cooperative human-ai games|
P Chattopadhyay, D Yadav, V Prabhu, A Chandrasekaran, A Das, S Lee, ...
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 …, 2017
|It takes two to tango: Towards theory of AI's mind|
A Chandrasekaran, D Yadav, P Chattopadhyay, V Prabhu, D Parikh
arXiv preprint arXiv:1704.00717, 2017
|Choose your neuron: Incorporating domain knowledge through neuron-importance|
RR Selvaraju, P Chattopadhyay, M Elhoseiny, T Sharma, D Batra, ...
Proceedings of the European conference on computer vision (ECCV), 526-541, 2018
|Evalai: Towards better evaluation systems for ai agents|
D Yadav, R Jain, H Agrawal, P Chattopadhyay, T Singh, A Jain, SB Singh, ...
arXiv preprint arXiv:1902.03570, 2019
|Robustnav: Towards benchmarking robustness in embodied navigation|
P Chattopadhyay, J Hoffman, R Mottaghi, A Kembhavi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
|Improving generative visual dialog by answering diverse questions|
V Murahari, P Chattopadhyay, D Batra, D Parikh, A Das
arXiv preprint arXiv:1909.10470, 2019
|Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks|
M Goldblum, H Souri, R Ni, M Shu, V Prabhu, G Somepalli, ...
arXiv preprint arXiv:2310.19909, 2023
|IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL|
N Modhe, P Chattopadhyay, M Sharma, A Das, D Parikh, D Batra, ...
|LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images|
V Prabhu, S Yenamandra, P Chattopadhyay, J Hoffman
arXiv preprint arXiv:2305.19164, 2023
|Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses|
F Lin, R Mittapalli, P Chattopadhyay, D Bolya, J Hoffman
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
|PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization|
P Chattopadhyay, K Sarangmath, V Vijaykumar, J Hoffman
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
|Benchmarking Low-Shot Robustness to Natural Distribution Shifts|
A Singh, K Sarangmath, P Chattopadhyay, J Hoffman
arXiv preprint arXiv:2304.11263, 2023
|Augmentation Curriculum Learning For Generalization in RL|
D Yung, A Szot, P Chattopadhyay, J Hoffman, Z Kira
|PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization (Supplementary Material)|
P Chattopadhyay, K Sarangmath, VVJ Hoffman
|Exploring Weak-Supervision and Generative Models for Semantic Segmentation|
P Chattopadhyay, R Selvaraju, V Prabhu
|UNSUPERVISED DISCOVERY OF DECISION STATES THROUGH INTRINSIC CONTROL|
N Modhe, M Sharma, P Chattopadhyay, A Das, D Parikh, D Batra, ...
|Delhi Technological University: Design and Development of the Littoral AUV Zyra 2.0|
A Gupta, V Rustagi, RK Saini, A Jain, P Murgai, A Rastogi, P Goswami, ...